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MLAAN: Scaling Supervised Local Learning with Multilaminar Leap
  Augmented Auxiliary Network
v1v2v3v4 (latest)

MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network

24 June 2024
Yuming Zhang
Shouxin Zhang
Peizhe Wang
Feiyu Zhu
Dongzhi Guan
Junhao Su
Jiabin Liu
Changpeng Cai
ArXiv (abs)PDFHTML

Papers citing "MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network"

20 / 20 papers shown
Title
Hebbian Deep Learning Without Feedback
Hebbian Deep Learning Without Feedback
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
80
54
0
23 Sep 2022
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment
  For Training Deep Spiking Neural Networks
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yi Zeng
63
55
0
17 Oct 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
70
102
0
06 Mar 2021
Local plasticity rules can learn deep representations using
  self-supervised contrastive predictions
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing
Jean-Paul Ventura
G. Bellec
W. Gerstner
SSLDRL
106
71
0
16 Oct 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSLDRL
84
70
0
04 Aug 2020
Learned Point Cloud Geometry Compression
Learned Point Cloud Geometry Compression
Jianqiang Wang
Hao Zhu
Zhan Ma
Tong Chen
Haojie Liu
Qiu Shen
3DPC
46
145
0
26 Sep 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
143
1,435
0
01 May 2019
Decoupled Greedy Learning of CNNs
Decoupled Greedy Learning of CNNs
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
57
117
0
23 Jan 2019
Training Neural Networks with Local Error Signals
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
105
228
0
20 Jan 2019
Greedy Layerwise Learning Can Scale to ImageNet
Greedy Layerwise Learning Can Scale to ImageNet
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
128
181
0
29 Dec 2018
Assessing the Scalability of Biologically-Motivated Deep Learning
  Algorithms and Architectures
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov
Adam Santoro
Blake A. Richards
Luke Marris
Geoffrey E. Hinton
Timothy Lillicrap
97
244
0
12 Jul 2018
Training Neural Networks Using Features Replay
Training Neural Networks Using Features Replay
Zhouyuan Huo
Bin Gu
Heng-Chiao Huang
75
70
0
12 Jul 2018
Improving Generalization Performance by Switching from Adam to SGD
Improving Generalization Performance by Switching from Adam to SGD
N. Keskar
R. Socher
ODL
105
524
0
20 Dec 2017
Deep supervised learning using local errors
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
68
115
0
17 Nov 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
119
1,544
0
10 Mar 2017
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
ODL
144
460
0
06 Sep 2016
Decoupled Neural Interfaces using Synthetic Gradients
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg
Wojciech M. Czarnecki
Simon Osindero
Oriol Vinyals
Alex Graves
David Silver
Koray Kavukcuoglu
90
358
0
18 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,179
0
13 Aug 2016
Towards Biologically Plausible Deep Learning
Towards Biologically Plausible Deep Learning
Yoshua Bengio
Dong-Hyun Lee
J. Bornschein
Thomas Mesnard
Zhouhan Lin
DRLOOD
92
352
0
14 Feb 2015
Difference Target Propagation
Difference Target Propagation
Dong-Hyun Lee
Saizheng Zhang
Asja Fischer
Yoshua Bengio
AAML
120
352
0
23 Dec 2014
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